Literature DB >> 32243163

Selection of Heating Temperatures Improves the Sensitivity of the Proteome Integral Solubility Alteration Assay.

Jiaming Li1, Jonathan G Van Vranken1, Joao A Paulo1, Edward L Huttlin1, Steven P Gygi1.   

Abstract

The thermal shift assay is a robust method of discovering protein-ligand interactions by measuring the alterations in protein thermal stability under various conditions. Several thermal shift assays have been developed and their throughput has been advanced greatly by the rapid progress in tandem mass tag-based quantitative proteomics. A recent paper by Gaetani et al. ( J. Proteome Res. 2019, 18 (11), 4027-4037) introduced the proteome integral solubility alteration (PISA) assay, further increasing throughput and simplifying the data analysis. Both ΔSm (a proxy of the difference between areas under the melting curves) and fold changes (ratios between integral samples) are readouts of the PISA assay and positively related to ΔTm (shift in melting temperatures). Here, we show that the magnitudes of these readouts are inherently small in PISA assay, which is a challenge for quantitation. Both simulation and experimental results show that the selection of a subset of heating temperatures ameliorates the small difference problem and improves the sensitivity of the PISA assay.

Entities:  

Keywords:  fold change; heating temperature selection; mass spectrometry; protein−ligand interaction; proteomics; shift in melting points; tandem mass tag; thermal shift assay

Mesh:

Substances:

Year:  2020        PMID: 32243163      PMCID: PMC7294736          DOI: 10.1021/acs.jproteome.0c00063

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  21 in total

1.  Thermofluor-based high-throughput stability optimization of proteins for structural studies.

Authors:  Ulrika B Ericsson; B Martin Hallberg; George T Detitta; Niek Dekker; Pär Nordlund
Journal:  Anal Biochem       Date:  2006-08-10       Impact factor: 3.365

2.  Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

Authors:  Joshua E Elias; Steven P Gygi
Journal:  Nat Methods       Date:  2007-03       Impact factor: 28.547

3.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

4.  Monitoring drug target engagement in cells and tissues using the cellular thermal shift assay.

Authors:  Daniel Martinez Molina; Rozbeh Jafari; Marina Ignatushchenko; Takahiro Seki; E Andreas Larsson; Chen Dan; Lekshmy Sreekumar; Yihai Cao; Pär Nordlund
Journal:  Science       Date:  2013-07-05       Impact factor: 47.728

5.  Proteome Integral Solubility Alteration: A High-Throughput Proteomics Assay for Target Deconvolution.

Authors:  Massimiliano Gaetani; Pierre Sabatier; Amir A Saei; Christian M Beusch; Zhe Yang; Susanna L Lundström; Roman A Zubarev
Journal:  J Proteome Res       Date:  2019-10-14       Impact factor: 4.466

6.  TMTpro reagents: a set of isobaric labeling mass tags enables simultaneous proteome-wide measurements across 16 samples.

Authors:  Jiaming Li; Jonathan G Van Vranken; Laura Pontano Vaites; Devin K Schweppe; Edward L Huttlin; Chris Etienne; Premchendar Nandhikonda; Rosa Viner; Aaron M Robitaille; Andrew H Thompson; Karsten Kuhn; Ian Pike; Ryan D Bomgarden; John C Rogers; Steven P Gygi; Joao A Paulo
Journal:  Nat Methods       Date:  2020-03-16       Impact factor: 28.547

7.  MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.

Authors:  Graeme C McAlister; David P Nusinow; Mark P Jedrychowski; Martin Wühr; Edward L Huttlin; Brian K Erickson; Ramin Rad; Wilhelm Haas; Steven P Gygi
Journal:  Anal Chem       Date:  2014-07-03       Impact factor: 8.008

8.  Proteome-wide solubility and thermal stability profiling reveals distinct regulatory roles for ATP.

Authors:  Sindhuja Sridharan; Nils Kurzawa; Thilo Werner; Ina Günthner; Dominic Helm; Wolfgang Huber; Marcus Bantscheff; Mikhail M Savitski
Journal:  Nat Commun       Date:  2019-03-11       Impact factor: 14.919

9.  STITCH 5: augmenting protein-chemical interaction networks with tissue and affinity data.

Authors:  Damian Szklarczyk; Alberto Santos; Christian von Mering; Lars Juhl Jensen; Peer Bork; Michael Kuhn
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

10.  An isothermal shift assay for proteome scale drug-target identification.

Authors:  Kerri A Ball; Kristofor J Webb; Stephen J Coleman; Kira A Cozzolino; Jeremy Jacobsen; Kevin R Jones; Michael H B Stowell; William M Old
Journal:  Commun Biol       Date:  2020-02-14
View more
  6 in total

1.  Proteome Integral Solubility Alteration (PISA) for High-Throughput Ligand Target Deconvolution with Increased Statistical Significance and Reduced Sample Amount.

Authors:  Massimiliano Gaetani; Roman A Zubarev
Journal:  Methods Mol Biol       Date:  2023

Review 2.  Current Advances in CETSA.

Authors:  Tuomas Aleksi Tolvanen
Journal:  Front Mol Biosci       Date:  2022-06-09

3.  NMS-873 Leads to Dysfunctional Glycometabolism in A p97-Independent Manner in HCT116 Colon Cancer Cells.

Authors:  Shan Li; Feng Wang; Gang Zhang; Tsui-Fen Chou
Journal:  Pharmaceutics       Date:  2022-03-31       Impact factor: 6.525

4.  Blood donor exposome and impact of common drugs on red blood cell metabolism.

Authors:  Travis Nemkov; Davide Stefanoni; Aarash Bordbar; Aaron Issaian; Bernhard O Palsson; Larry J Dumont; Ariel Hay; Anren Song; Yang Xia; Jasmina S Redzic; Elan Z Eisenmesser; James C Zimring; Steve Kleinman; Kirk C Hansen; Michael P Busch; Angelo D'Alessandro
Journal:  JCI Insight       Date:  2021-02-08

5.  Natural Product Alantolactone Targeting AKR1C1 Suppresses Cell Proliferation and Metastasis in Non-Small-Cell Lung Cancer.

Authors:  Zhiwen Fu; Shijun Li; Jinmei Liu; Cong Zhang; Chen Jian; Lulu Wang; Yu Zhang; Chen Shi
Journal:  Front Pharmacol       Date:  2022-03-15       Impact factor: 5.810

6.  Assessing target engagement using proteome-wide solvent shift assays.

Authors:  Jonathan G Van Vranken; Jiaming Li; Dylan C Mitchell; José Navarrete-Perea; Steven P Gygi
Journal:  Elife       Date:  2021-12-08       Impact factor: 8.140

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.